grok-2-vision
vercel_ai_gateway · chat model
grok-2-vision is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $2.0000 / 1M tokens |
| Output | $10.0000 / 1M tokens |
| Embedding | $2.0000 / 1M tokens |
Token limits
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | ✅ |
| Prompt caching | — |
| Reasoning | — |
| Response schema | — |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Benchmarks
Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer
| Benchmark | Score | Metric | Scope | Checked | Source |
|---|---|---|---|---|---|
| GPQA | 56.0% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMLU | 87.5% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMLU-Pro | 75.5% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MATH | 76.1% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| HumanEval | 88.4% | pass@1 | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMMU | 66.1% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| grok-2-vision vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| grok-2-vision xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 94% |
| grok-2-vision-1212 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 94% |
| grok-2-vision-latest xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 94% |
| v0-1.5-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Same provider Overall 93% |
| v0-1.0-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.0K | Same provider Overall 93% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Same provider Overall 92% |
| gpt-4o vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Same provider Overall 84% |
| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 100.0K | Same provider Overall 81% |
| Llama-4-Maverick-17B-128E-Instruct-FP8 azure_ai | In $1.4100 / 1M tokens Out $0.3500 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Text + image covered Overall 79% |
| gpt-4.1-mini vercel_ai_gateway | In $0.4000 / 1M tokens Out $1.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Same provider Overall 77% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 77% |
| Llama-4-Scout-17B-16E-Instruct azure_ai | In $0.2000 / 1M tokens Out $0.7800 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 16.4K | Text + image covered Overall 74% |
| llama-3.2-90b vercel_ai_gateway | In $0.7200 / 1M tokens Out $0.7200 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Same provider Overall 73% |
| mistral-large-3 azure_ai | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 8.2K | Text + image covered Overall 73% |
| gpt-4-turbo vercel_ai_gateway | In $10.0000 / 1M tokens Out $30.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 4.1K | Same provider Overall 72% |
| mistral-small-2503 azure_ai | In $0.1000 / 1M tokens Out $0.3000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 128.0K | Text + image covered Overall 70% |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 68% |
| grok-2 vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.0K | Same provider Overall 66% Missing image |
| grok-2 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 64% Missing image |
| grok-2-1212 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 64% Missing image |
| grok-2-latest xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 64% Missing image |
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